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Traditional Chinese AI for text mining, semantic retrieval, and knowledge workflows.
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##
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- [Official Website](https://www.blueplanet.com.tw/)
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##
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- Knowledge-oriented AI systems
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- Generative AI integration and data governance
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##
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- [BPVELA-E560M](https://huggingface.co/BluePlanetAI/BPVELA-E560M): Accuracy-first Traditional Chinese retrieval line built on `intfloat/multilingual-e5-large`
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- [BPVELA-G300M](https://huggingface.co/BluePlanetAI/BPVELA-G300M): Efficiency-first Traditional Chinese retrieval line built on `google/embeddinggemma-300m`
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## Usage Notes
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- `BPVELA-G300M` is built on top of `google/embeddinggemma-300m`
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- Before using `BPVELA-G300M`, make sure you have access to the upstream Gemma gated base model
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- NTU technology transfer backed
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- Built on long-running text and archive processing experience
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- Traditional Chinese retrieval and embedding focus
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- Public releases emphasize clear model cards, licensing notes, and upstream dependency guidance
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## Contact
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- Website: [blueplanet.com.tw](https://www.blueplanet.com.tw/)
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- Hugging Face: [BluePlanetAI](https://huggingface.co/BluePlanetAI)
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Traditional Chinese AI for text mining, semantic retrieval, and knowledge workflows.
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BluePlanetAI publishes practical embedding and retrieval releases for Traditional Chinese use cases.
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## Links
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- [Official Website](https://www.blueplanet.com.tw/)
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- [Model Collection](https://huggingface.co/BluePlanetAI/models)
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## Featured Models
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- [BPVELA-E560M](https://huggingface.co/BluePlanetAI/BPVELA-E560M)
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- [BPVELA-G300M](https://huggingface.co/BluePlanetAI/BPVELA-G300M)
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## Notes
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- Focus: Traditional Chinese retrieval and embeddings
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- `BPVELA-E560M` is based on `intfloat/multilingual-e5-large`
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- `BPVELA-G300M` is based on `google/embeddinggemma-300m`
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- `BPVELA-G300M` requires access to the upstream Gemma gated base model
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## About
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